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Using the diffusion of innovations theory to assess socio-technical factors in planning the implementation of an electronic health record alert across multiple primary care clinics
BACKGROUND: Adverse drug events (ADEs) are a leading cause of death in the United States. Patients with stage 3 and 4 chronic kidney disease (CKD) are at particular risk because many medications are cleared by the kidneys. Alerts in the electronic health record (EHR) about drug appropriateness and d...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
2016
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5072363/ https://www.ncbi.nlm.nih.gov/pubmed/27348488 |
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author | Lin, Ching-Ping Guirguis-Blake, Janelle Keppel, Gina A. Dobie, Sharon Osborn, Justin Cole, Allison M. Baldwin, Laura-Mae |
author_facet | Lin, Ching-Ping Guirguis-Blake, Janelle Keppel, Gina A. Dobie, Sharon Osborn, Justin Cole, Allison M. Baldwin, Laura-Mae |
author_sort | Lin, Ching-Ping |
collection | PubMed |
description | BACKGROUND: Adverse drug events (ADEs) are a leading cause of death in the United States. Patients with stage 3 and 4 chronic kidney disease (CKD) are at particular risk because many medications are cleared by the kidneys. Alerts in the electronic health record (EHR) about drug appropriateness and dosing at the time of prescription have been shown to reduce ADEs for patients with stage 3 and 4 CKD in inpatient settings, but more research is needed about the implementation and effectiveness of such alerts in outpatient settings. OBJECTIVE: To explore factors that might inform the implementation of an electronic drug–disease alert for patients with CKD in primary care clinics, using Rogers’ diffusion of innovations theory as an analytic framework. METHODS: Interviews were conducted with key informants in four diverse clinics using various EHR systems. Interviews were audio recorded and transcribed. RESULTS: Although all clinics had a current method for calculating glomerular filtration rate (GFR), clinics were heterogeneous with regard to current electronic decision support practices, quality improvement resources, and organizational culture and structure. CONCLUSION: Understanding variation in organizational culture and infrastructure across primary care clinics is important in planning implementation of an intervention to reduce ADEs among patients with CKD. |
format | Online Article Text |
id | pubmed-5072363 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2016 |
record_format | MEDLINE/PubMed |
spelling | pubmed-50723632016-10-20 Using the diffusion of innovations theory to assess socio-technical factors in planning the implementation of an electronic health record alert across multiple primary care clinics Lin, Ching-Ping Guirguis-Blake, Janelle Keppel, Gina A. Dobie, Sharon Osborn, Justin Cole, Allison M. Baldwin, Laura-Mae J Innov Health Inform Article BACKGROUND: Adverse drug events (ADEs) are a leading cause of death in the United States. Patients with stage 3 and 4 chronic kidney disease (CKD) are at particular risk because many medications are cleared by the kidneys. Alerts in the electronic health record (EHR) about drug appropriateness and dosing at the time of prescription have been shown to reduce ADEs for patients with stage 3 and 4 CKD in inpatient settings, but more research is needed about the implementation and effectiveness of such alerts in outpatient settings. OBJECTIVE: To explore factors that might inform the implementation of an electronic drug–disease alert for patients with CKD in primary care clinics, using Rogers’ diffusion of innovations theory as an analytic framework. METHODS: Interviews were conducted with key informants in four diverse clinics using various EHR systems. Interviews were audio recorded and transcribed. RESULTS: Although all clinics had a current method for calculating glomerular filtration rate (GFR), clinics were heterogeneous with regard to current electronic decision support practices, quality improvement resources, and organizational culture and structure. CONCLUSION: Understanding variation in organizational culture and infrastructure across primary care clinics is important in planning implementation of an intervention to reduce ADEs among patients with CKD. 2016-04-15 /pmc/articles/PMC5072363/ /pubmed/27348488 Text en The Chartered Institute for IT under Creative Commons license http://creativecommons.org/licenses/by/4.0/ |
spellingShingle | Article Lin, Ching-Ping Guirguis-Blake, Janelle Keppel, Gina A. Dobie, Sharon Osborn, Justin Cole, Allison M. Baldwin, Laura-Mae Using the diffusion of innovations theory to assess socio-technical factors in planning the implementation of an electronic health record alert across multiple primary care clinics |
title | Using the diffusion of innovations theory to assess socio-technical factors in planning the implementation of an electronic health record alert across multiple primary care clinics |
title_full | Using the diffusion of innovations theory to assess socio-technical factors in planning the implementation of an electronic health record alert across multiple primary care clinics |
title_fullStr | Using the diffusion of innovations theory to assess socio-technical factors in planning the implementation of an electronic health record alert across multiple primary care clinics |
title_full_unstemmed | Using the diffusion of innovations theory to assess socio-technical factors in planning the implementation of an electronic health record alert across multiple primary care clinics |
title_short | Using the diffusion of innovations theory to assess socio-technical factors in planning the implementation of an electronic health record alert across multiple primary care clinics |
title_sort | using the diffusion of innovations theory to assess socio-technical factors in planning the implementation of an electronic health record alert across multiple primary care clinics |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5072363/ https://www.ncbi.nlm.nih.gov/pubmed/27348488 |
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